The document discusses opportunities for alignment between the goals of text mining and the Semantic Web. Text mining aims to derive high-quality, reduced-ambiguity information from documents using computation, while needing a universal representation of results consistent with the Web. The Semantic Web also aims to represent reduced-ambiguity information from documents in a computable way. There are complementary interests between commonly performed text mining tasks like text categorization, clustering, and relation extraction, and representing annotations of documents using ontologies for the Semantic Web. The document proposes developing shared projects and demonstrations between the two fields to better promote useful alignments.
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